Machine Learning Engineer

The role

You will build production systems to train, deploy, monitor, retrain, and serve machine-learning models. You will work between software engineering, data engineering, and modeling to turn prototypes into dependable systems.

What you will do

• Build and harden training pipelines.
• Package models for deployment.
• Serve predictions through APIs or batch jobs.
• Maintain feature pipelines.
• Monitor drift, data quality, latency, cost, and performance.
• Automate retraining and validation and design safe rollback.
• Prevent training-serving skew and silent model degradation.
• Productionize models handed off from other teams.
• Build clean interfaces between data, model, and product systems.
• Implement reproducibility, versioning, and model-governance artifacts.

Required qualifications

• Strong Python and software-engineering fundamentals.
• Experience with ML frameworks, data pipelines, and model serving.
• Experience taking models from prototype to reliable production.
• Cloud infrastructure, containers, CI/CD, and orchestration.
• Monitoring and observability, plus reproducibility and versioning across data, features, and models.
• Comfort with security and privacy controls for sensitive data.

Nice to have

• Background in backend engineering, data engineering, MLOps, or platform engineering.
• Experience with feature stores or feature pipelines at scale.
• Familiarity with healthcare data and PHI-aware systems

Benefits

• Meaningful pre-IPO equity
• Medical, dental, and vision plans 100% paid for you and your dependents
• Flexible PTO
• 10 paid holidays per year
• 401(k) with match
• 16-week parental leave policy for birthing parent
• 8 weeks for all other parents
• HSA + FSA contributions
• Life insurance
• short and long-term disability coverage
• Free daily lunch in-office
• Annual learning stipend

Before you apply

• Recruiter Screen
• Hiring Manager Introduction
• Hands-on-Keys Technical Assessment
• Onsite Interview: Systems Design + Technical Case Study + Behavioral Interview + Lunch with the Team
• References

About the company

Sprinter Health aims to reimagine how people access care by bringing it directly to their homes. The company has supported more than 2 million patients across 22 states.